Showing results for "hung bui"
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- Hung Bui
2024
EN
Synopsis: True wealth comes not from material possessions but from love, compassion, friendship, and family values. And kindness and charity in everyone is the most important factor to bring luck and happiness.Autobiography: Hung Bui is the author of Don't Believe in Tears,Love Conquers All, and now *The*Love of Love.With the website www authorhungquocbui.com.
2024
EN
Accessible
This edited book discusses the current issues and reports research conducted around the world. The advent of technology has changed the landscape of language education. The chapter topics are quite diverse, targeting the needs of undergraduate and graduate students and researchers. It views the mosaic of the field from cognitive, affective, educational, and educational perspectives. All the chapters give implications for further advances in technology and education.
Artificial Intelligence in Education and Academic Research
Opportunities, Challenges, and Ethical Issues
- Series -
- Education (R0)
2026
EN
Accessible
This book presents empirical and conceptual manuscripts across contexts and disciplines, offering insights into how AI has been applied in teaching, learning, and research practices. This book, with eleven chapters spanning different aspects of AI use in educational settings, contributes to the knowledge of how AI can be responsibly and effectively incorporated into educational and research practices that foster innovation, inclusivity, and lifelong learning. As the landscape of AI integra...
2025
EN
Generative Adversarial Networks (GANs) are transforming the field of artificial intelligence by enabling the creation of highly realistic images, pushing the boundaries of creativity and automation. These models have vast applications, from art and design to medical imaging and data augmentation, offering new possibilities across industries. Understanding GANs is essential for harnessing their potential while addressing challenges like ethical considerations and model biases. As AI-generat...
Plan, Activity, and Intent Recognition
Theory and Practice
2014
EN
Accessible
Plan recognition, activity recognition, and intent recognition together combine and unify techniques from user modeling, machine vision, intelligent user interfaces, human/computer interaction, autonomous and multi-agent systems, natural language understanding, and machine learning. Plan, Activity, and Intent Recognition explains the crucial role of these techniques in a wide variety of applications including: - personal agent assistants - computer and network security - opponent modeling ...
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2008
EN
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using...
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- Computer Science (R0)
2011
EN
This book provides a broad survey of advanced pattern recognition techniques for human behavior analysis. Clearly structured, the book begins with concise coverage of the major concepts, before introducing the most frequently used techniques and algorithms in detail, and then discussing examples of real applications. Features: contains contributions from an international selection of experts in the field; presents a thorough introduction to the fundamental topics of human behavior analysis...
2009
EN
The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-...
Tractability
Practical Approaches to Hard Problems
2014
EN
Classical computer science textbooks tell us that some problems are 'hard'. Yet many areas, from machine learning and computer vision to theorem proving and software verification, have defined their own set of tools for effectively solving complex problems. Tractability provides an overview of these different techniques, and of the fundamental concepts and properties used to tame intractability. This book will help you understand what to do when facing a hard computational problem. Can the...
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- Computer Science (R0)
2015
EN
This book covers state-of-the-art topics on the practical implementation of Spoken Dialog Systems and intelligent assistants in everyday applications. It presents scientific achievements in language processing that result in the development of successful applications and addresses general issues regarding the advances in Spoken Dialog Systems with applications in robotics, knowledge access and communication. Emphasis is placed on the following topics: speaker/language recognition, user mod...
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- Engineering (R0)
2013
EN
"Mobile Speech and Advanced Natural Language Solutions" presents the discussion of the most recent advances in intelligent human-computer interaction, including fascinating new study findings on talk-in-interaction, which is the province of conversation analysis, a subfield in sociology/sociolinguistics, a new and emerging area in natural language understanding. Editors Amy Neustein and Judith A. Markowitz have recruited a talented group of contributors to introduce the next generation nat...
- Series -
- Use R!
2015
EN
Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data collection and management, network description, visualization, and building and testing statisti...











